Results 41 to 50 of about 1,141,381 (319)

Decrypting cancer's spatial code: from single cells to tissue niches

Molecular Oncology, EarlyView.
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik, Shi Pan, Eloise Withnell, Hou Wang Lam, Maria Secrier   +4 more
wiley   +1 more source

Error bounds of block sparse signal recovery based on q-ratio block constrained minimal singular values

EURASIP Journal on Advances in Signal Processing, 2019
In this paper, we introduce the q-ratio block constrained minimal singular values (BCMSV) as a new measure of measurement matrix in compressive sensing of block sparse/compressive signals and present an algorithm for computing this new measure.
Jianfeng Wang, Zhiyong Zhou, Jun Yu
doaj   +1 more source

Introducing the discussion paper by Sz\'{e}kely and Rizzo

, 2010
Introducing the discussion paper by Sz\'{e}kely and RizzoComment: Published in at http://dx.doi.org/10.1214/09-AOAS34INTRO the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat ...
Newton, Michael A.
core   +1 more source

Tumor‐agnostic detection of circulating tumor DNA in patients with advanced pancreatic cancer using targeted DNA methylation sequencing and cell‐free DNA fragmentomics

Molecular Oncology, EarlyView.
We evaluated circulating tumor DNA (ctDNA) detection in advanced pancreatic cancer using DNA methylation, cell‐free DNA fragment lengths, and 5′ end motifs. Machine learning models were trained to estimate ctDNA levels from each feature and their combination.
Morten Lapin, Kjersti Tjensvoll, Karin Hestnes Edland, Satu Oltedal, Herish Garresori, Bjørnar Gilje, Saga Ekedal, Trygve Eftestøl, Jan Terje Kvaløy, Filip Janku, Oddmund Nordgård   +10 more
wiley   +1 more source

Estimating Tanks - Communication in Mathematical Statistics

Journal of Statistics and Data Science Education
Communication skills are critical for statisticians, but in our curricula emphasis on communication tends to be in applied courses. After providing historical context around the traditional mathematical statistics course, this article introduces a ...
Amy Wagaman
doaj   +1 more source

Impact of two relaxation times on thermal, P and SV waves at interface with magnetic field and temperature dependent elastic moduli

Results in Physics, 2018
In this article, two models of the generalized thermo-elastic theory are used to see the influence on the refraction and reflection of the plane waves at the interface under a constant magnetic field.
Ambreen Asfar Khan, Akbar Zaman, Sundas Yaseen   +2 more
doaj   +1 more source

Discussion: One-step sparse estimates in nonconcave penalized likelihood models

, 2007
Discussion of ``One-step sparse estimates in nonconcave penalized likelihood models'' [arXiv:0808.1012]Comment: Published in at http://dx.doi.org/10.1214/07-AOS0316C the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of ...
Zhang, Cun-Hui
core   +2 more sources

Tailor-made tests for goodness of fit to semiparametric hypotheses [PDF]

, 2006
We introduce a new framework for constructing tests of general semiparametric hypotheses which have nontrivial power on the $n^{-1/2}$ scale in every direction, and can be tailored to put substantial power on alternatives of importance.
Bickel, Peter J., Ritov, Ya'acov, Stoker, Thomas M.   +2 more
core   +2 more sources

MATHEMATICAL STATISTICS - PART2

, 2020
In our earlier work the thermodynamic relationship about Random- Coil model has been discussed in detail . In second part of the hypothesis we have correlated the mathematical basis behind it .Ie sigmoid -stat with Boltzmann and Gaussiun statistics- REF ( https://encyclopedia.pub/2594 // Encylopedia offline entry ).
openaire   +2 more sources

Multi‐omic profiling of squamous cell lung cancer identifies metabolites and related genes associated with squamous cell carcinoma

Molecular Oncology, EarlyView.
Using multi‐omic characterization, we aimed to identify key regulators specific to squamous cell lung carcinoma (SqCC). SqCC‐specific differentially expressed genes were integrated with metabolics data. High expression of the creatine transporter SLC6A8, along with elevated creatine levels, appeared to be a distinct metabolic feature of SqCC.
Johan Staaf, Daniel Ehinger, Hans Brunnström, Mats Jönsson, Frida Rosengren, Marija Kotevska, Anna Karlsson, Mattias Aine, Christian Frezza, Maria Planck, Elsa Arbajian   +10 more
wiley   +1 more source